•Designed and launched fully functional automatic Question Generators; the system transforms how instructors and students approach assessments and confers significant benefits for institutional resilience and academic fairness, potentially shaping the future of education.
•Used state diagrams to create a high-level concept map of topics covered in courses and determined types of questions under each concept.
•Captured the essence and paradigm underlying curated questions linked to the concepts, built the infrastructure to enable the features of selecting difficulty levels, generating new variants, and providing immediate feedback based on inputs using Python, HTML, and JavaScript.
•Streamlined existing Question Generators on PrairieLearn and created an interactive assignment interface.
•Managed a team of six to build Python-based Questions: built GitHub Project website and spreadsheet to track team progress, assigned multi-variate tasks, and organized two-hour weekly meetings to check in progress and discuss prospective roadmaps.
